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DBMS > Apache Doris vs. Atos Standard Common Repository vs. Kdb vs. Microsoft Azure AI Search vs. Sphinx

System Properties Comparison Apache Doris vs. Atos Standard Common Repository vs. Kdb vs. Microsoft Azure AI Search vs. Sphinx

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHigh performance Time Series DBMSSearch-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSDocument store
Key-value store
Time Series DBMS
Vector DBMS
Search engineSearch engine
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score5.95
Rank#55  Overall
#5  Search engines
Websitedoris.apache.org
github.com/­apache/­doris
atos.net/en/convergence-creators/portfolio/standard-common-repositorykx.comazure.microsoft.com/­en-us/­services/­searchsphinxsearch.com
Technical documentationgithub.com/­apache/­doris/­wikicode.kx.comlearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docs
DeveloperApache Software Foundation, originally contributed from BaiduAtos Convergence CreatorsKx Systems, a division of First Derivatives plcMicrosoftSphinx Technologies Inc.
Initial release201720162000 infokdb was released 2000, kdb+ in 200320152001
Current release1.2.2, February 202317033.6, May 2018V13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree 32-bit versioncommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaqC++
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesyesno
Secondary indexesyesyesyes infotable attribute 'grouped'yesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoSQL-like query language (q)noSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
MySQL client
LDAPHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP APIProprietary protocol
Supported programming languagesJavaAll languages with LDAP bindingsC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsnono
Triggersnoyesyes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionhorizontal partitioningSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationrights management via user accountsyes infousing Azure authenticationno
More information provided by the system vendor
Apache DorisAtos Standard Common RepositoryKdbMicrosoft Azure AI SearchSphinx
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Apache DorisAtos Standard Common RepositoryKdbMicrosoft Azure AI SearchSphinx
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